Linqi Song

According to our database, Linqi Song authored at least 159 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Integrated Object Detection and Communication for Synthetic Aperture Radar Images.

Zhiping Xu, Deyin Xu, Lixiong Lin, Linqi Song, Dan Song, Yanglong Sun, Qiwang Chen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024

Scenario-Adaptive Key Establishment Scheme for LoRa-Enabled IoV Communications.

Huanqi Yang, Di Duan, Hongbo Liu, Chengwen Luo, Yuezhong Wu, Wei Li, Albert Y. Zomaya, Linqi Song, Weitao Xu

IEEE Trans. Mob. Comput., December, 2024

Solution Transfer in Evolutionary Optimization: An Empirical Study on Sequential Transfer.

Xiaoming Xue, Cuie Yang, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan

IEEE Trans. Evol. Comput., December, 2024

CrossVision: Real-Time On-Camera Video Analysis via Common RoI Load Balancing.

Letian Zhang, Zhuo Lu, Linqi Song, Jie Xu

IEEE Trans. Mob. Comput., May, 2024

Adaptive Top-K in SGD for Communication-Efficient Distributed Learning in Multi-Robot Collaboration.

Mengzhe Ruan, Guangfeng Yan, Yuanzhang Xiao, Linqi Song, Weitao Xu

IEEE J. Sel. Top. Signal Process., April, 2024

A Language Model-Based Fine-Grained Address Resolution Framework in UAV Delivery System.

Sichun Luo, Yuxuan Yao, Haohan Zhao, Linqi Song

IEEE J. Sel. Top. Signal Process., April, 2024

Gap-Closing Matters: Perceptual Quality Evaluation and Optimization of Low-Light Image Enhancement.

Baoliang Chen, Lingyu Zhu, Hanwei Zhu, Wenhan Yang, Linqi Song, Shiqi Wang

IEEE Trans. Multim., 2024

Structure-Aware Dialogue Modeling Methods for Conversational Semantic Role Labeling.

Han Wu, Kun Xu, Linqi Song

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Killing two birds with one stone: Quantization achieves privacy in distributed learning.

Guangfeng Yan, Tan Li, Kui Wu, Linqi Song

Digit. Signal Process., 2024

Flexible Coded Distributed Convolution Computing for Enhanced Fault Tolerance and Numerical Stability in Distributed CNNs.

Shuo Tan, Rui Liu, XianLei Long, Kai Wan, Linqi Song, Yong Li

CoRR, 2024

VOVTrack: Exploring the Potentiality in Videos for Open-Vocabulary Object Tracking.

Zekun Qian, Ruize Han, Junhui Hou, Linqi Song, Wei Feng

CoRR, 2024

Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling.

Yuxuan Yao, Han Wu, Mingyang Liu, Sichun Luo, Xiongwei Han, Jie Liu, Zhijiang Guo, Linqi Song

CoRR, 2024

Surrogate-Assisted Search with Competitive Knowledge Transfer for Expensive Optimization.

Xiaoming Xue, Yao Hu, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan

CoRR, 2024

Error Correction Decoding Algorithms of RS Codes Based on An Earlier Termination Algorithm to Find The Error Locator Polynomial.

Zhengyi Jiang, Hao Shi, Zhongyi Huang, Linqi Song, Bo Bai, Gong Zhang, Hanxu Hou

CoRR, 2024

OCTrack: Benchmarking the Open-Corpus Multi-Object Tracking.

Zekun Qian, Ruize Han, Wei Feng, Junhui Hou, Linqi Song, Song Wang

CoRR, 2024

Benchmarking LLMs for Optimization Modeling and Enhancing Reasoning via Reverse Socratic Synthesis.

Zhicheng Yang, Yinya Huang, Wei Shi, Liang Feng, Linqi Song, Yiwei Wang, Xiaodan Liang, Jing Tang

CoRR, 2024

FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving.

Xiaohan Lin, Qingxing Cao, Yinya Huang, Haiming Wang, Jianqiao Lu, Zhengying Liu, Linqi Song, Xiaodan Liang

CoRR, 2024

Interpretable Catastrophic Forgetting of Large Language Model Fine-tuning via Instruction Vector.

Gangwei Jiang, Caigao Jiang, Zhaoyi Li, Siqiao Xue, Jun Zhou, Linqi Song, Defu Lian, Ying Wei

CoRR, 2024

Rotation and Permutation for Advanced Outlier Management and Efficient Quantization of LLMs.

Haokun Lin, Haobo Xu, Yichen Wu, Jingzhi Cui, Yingtao Zhang, Linzhan Mou, Linqi Song, Zhenan Sun, Ying Wei

CoRR, 2024

Privacy in LLM-based Recommendation: Recent Advances and Future Directions.

Sichun Luo, Wei Shao, Yuxuan Yao, Jian Xu, Mingyang Liu, Qintong Li, Bowei He, Maolin Wang, Guanzhi Deng, Hanxu Hou, Xinyi Zhang, Linqi Song

CoRR, 2024

Learning From Correctness Without Prompting Makes LLM Efficient Reasoner.

Yuxuan Yao, Han Wu, Zhijiang Guo, Biyan Zhou, Jiahui Gao, Sichun Luo, Hanxu Hou, Xiaojin Fu, Linqi Song

CoRR, 2024

MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric.

Haokun Lin, Haoli Bai, Zhili Liu, Lu Hou, Muyi Sun, Linqi Song, Ying Wei, Zhenan Sun

CoRR, 2024

Improved Quantization Strategies for Managing Heavy-tailed Gradients in Distributed Learning.

Guangfeng Yan, Tan Li, Yuanzhang Xiao, Hanxu Hou, Linqi Song

CoRR, 2024

Truncated Non-Uniform Quantization for Distributed SGD.

Guangfeng Yan, Tan Li, Yuanzhang Xiao, Congduan Li, Linqi Song

CoRR, 2024

Towards Quantum-Safe Federated Learning via Homomorphic Encryption: Learning with Gradients.

Guangfeng Yan, Shanxiang Lyu, Hanxu Hou, Zhiyong Zheng, Linqi Song

CoRR, 2024

PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models.

Haochen Tan, Zhijiang Guo, Zhan Shi, Lu Xu, Zhili Liu, Xiaoguang Li, Yasheng Wang, Lifeng Shang, Qun Liu, Linqi Song

CoRR, 2024

Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation.

Sichun Luo, Yuxuan Yao, Bowei He, Yinya Huang, Aojun Zhou, Xinyi Zhang, Yuanzhang Xiao, Mingjie Zhan, Linqi Song

CoRR, 2024

3D Shape Completion on Unseen Categories: A Weakly-supervised Approach.

Lintai Wu, Junhui Hou, Linqi Song, Yong Xu

CoRR, 2024

Can LLM Substitute Human Labeling? A Case Study of Fine-grained Chinese Address Entity Recognition Dataset for UAV Delivery.

Yuxuan Yao, Sichun Luo, Haohan Zhao, Guanzhi Deng, Linqi Song

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Lightweight Instantly Decodable Network Coding in Wireless Broadcast.

Le Wang, Rina Su, Qifu Tyler Sun, Shaoteng Liu, Zhongshan Zhang, Linqi Song

Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Rethinking the One-shot Object Detection: Cross-Domain Object Search.

Yupeng Zhang, Shuqi Zheng, Ruize Han, Yuzhong Feng, Junhui Hou, Linqi Song, Wei Feng, Liang Wan

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

New EVENODD+ Codes with More Flexible Parameters and Lower Complexity.

Panyu Zhu, Jingjie Lv, Yunghsiang S. Han, Linqi Song, Hanxu Hou

Proceedings of the IEEE International Symposium on Information Theory, 2024

Reed-Solomon Codes over Cyclic Polynomial Ring with Lower Encoding/Decoding Complexity.

Wenhao Liu, Zhengyi Jiang, Zhongyi Huang, Linqi Song, Hanxu Hou

Proceedings of the IEEE International Symposium on Information Theory, 2024

Tight Lower Bound on Cross-Rack Update Bandwidth and Explicit Constructions.

Zhengyi Jiang, Bin Yu, Zhongyi Huang, Linqi Song, Bo Bai, Gong Zhang, Hanxu Hou

Proceedings of the IEEE International Symposium on Information Theory, 2024

Heterogeneous Structured Federated Learning with Graph Convolutional Aggregation for MRI-Based Mental Disorder Diagnosis.

Yao Hu, Rui Liu, Jiaqi Zhang, Zhi-An Huang, Linqi Song, Kay Chen Tan

Proceedings of the International Joint Conference on Neural Networks, 2024

Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification.

Aojun Zhou, Ke Wang, Zimu Lu, Weikang Shi, Sichun Luo, Zipeng Qin, Shaoqing Lu, Anya Jia, Linqi Song, Mingjie Zhan, Hongsheng Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning.

Ke Wang, Houxing Ren, Aojun Zhou, Zimu Lu, Sichun Luo, Weikang Shi, Renrui Zhang, Linqi Song, Mingjie Zhan, Hongsheng Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data.

Yinya Huang, Xiaohan Lin, Zhengying Liu, Qingxing Cao, Huajian Xin, Haiming Wang, Zhenguo Li, Linqi Song, Xiaodan Liang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Large Language Models Augmented Rating Prediction in Recommender System.

Sichun Luo, Jiansheng Wang, Aojun Zhou, Li Ma, Linqi Song

Proceedings of the IEEE International Conference on Acoustics, 2024

Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing.

Weichuan Wang, Zhaoyi Li, Defu Lian, Chen Ma, Linqi Song, Ying Wei

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LoRAN: Improved Low-Rank Adaptation by a Non-Linear Transformation.

Yinqiao Li, Linqi Song, Hanxu Hou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-Wise Pruning Error Metric.

Haokun Lin, Haoli Bai, Zhili Liu, Lu Hou, Muyi Sun, Linqi Song, Ying Wei, Zhenan Surr

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multiobjective Sequential Transfer Optimization: Benchmark Problems and Preliminary Results.

Xiaoming Xue, Liang Feng, Cuie Yang, Songbai Liu, Linqi Song, Kay Chen Tan

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Multiobjective Bayesian Optimization for Antenna Placement in In-Building Distributed Antenna System.

Xilei Wu, Pei-Qiu Huang, Linqi Song, Hai-Lin Liu, Qingfu Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation.

Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models.

Haochen Tan, Zhijiang Guo, Zhan Shi, Lu Xu, Zhili Liu, Yunlong Feng, Xiaoguang Li, Yasheng Wang, Lifeng Shang, Qun Liu, Linqi Song

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining.

Shuqi Liu, Bowei He, Linqi Song

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Understanding and Patching Compositional Reasoning in LLMs.

Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian, Ying Wei

Proceedings of the Findings of the Association for Computational Linguistics, 2024

CLOMO: Counterfactual Logical Modification with Large Language Models.

Yinya Huang, Ruixin Hong, Hongming Zhang, Wei Shao, Zhicheng Yang, Dong Yu, Changshui Zhang, Xiaodan Liang, Linqi Song

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

HEPM: High-efficiency pattern mining.

Xiaojie Zhang, Guoting Chen, Linqi Song, Wensheng Gan, Yunling Song

Knowl. Based Syst., December, 2023

Source Free Semi-Supervised Transfer Learning for Diagnosis of Mental Disorders on fMRI Scans.

Yao Hu, Zhi-An Huang, Rui Liu, Xiaoming Xue, Xiaoyan Sun, Linqi Song, Kay Chen Tan

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Special issue on non-deterministic machine learning.

Shao-Lun Huang, Emilie Chouzenoux, Simon J. Godsill, Tie Liu, Linqi Song, Lei Zhang

J. Frankl. Inst., November, 2023

Federated Online Learning Aided Multi-Objective Proactive Caching in Heterogeneous Edge Networks.

Tan Li, Linqi Song

IEEE Trans. Cogn. Commun. Netw., August, 2023

Communication Efficient Federated Learning With Heterogeneous Structured Client Models.

Yao Hu, Xiaoyan Sun, Ye Tian, Linqi Song, Kay Chen Tan

IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Achieving privacy-preserving cross-silo anomaly detection using federated XGBoost.

Mengwei Yang, Shuqi Liu, Jie Xu, Guozhen Tan, Congduan Li, Linqi Song

J. Frankl. Inst., June, 2023

Federated Multi-Task Learning for Joint Diagnosis of Multiple Mental Disorders on MRI Scans.

Zhi-An Huang, Yao Hu, Rui Liu, Xiaoming Xue, Zexuan Zhu, Linqi Song, Kay Chen Tan

IEEE Trans. Biomed. Eng., April, 2023

Towards efficient communications in federated learning: A contemporary survey.

Zihao Zhao, Yuzhu Mao, Yang Liu, Linqi Song, Ye Ouyang, Xinlei Chen, Wenbo Ding

J. Frankl. Inst., 2023

A pruning-then-quantization model compression framework for facial emotion recognition.

Han Sun, Wei Shao, Tao Li, Jiayu Zhao, Weitao Xu, Linqi Song

Intell. Converged Networks, 2023

Emma: An accurate, efficient, and multi-modality strategy for autonomous vehicle angle prediction.

Keqi Song, Tao Ni, Linqi Song, Weitao Xu

Intell. Converged Networks, 2023

RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation.

Sichun Luo, Bowei He, Haohan Zhao, Yinya Huang, Aojun Zhou, Zongpeng Li, Yuanzhang Xiao, Mingjie Zhan, Linqi Song

CoRR, 2023

Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning.

Guangfeng Yan, Tan Li, Tian Lan, Kui Wu, Linqi Song

CoRR, 2023

Self-Supervised Sentence Compression for Meeting Summarization.

Haochen Tan, Han Wu, Wei Shao, Xinyun Zhang, Mingjie Zhan, Zhaohui Hou, Ding Liang, Linqi Song

CoRR, 2023

PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training.

Sichun Luo, Yuanzhang Xiao, Xinyi Zhang, Yang Liu, Wenbo Ding, Linqi Song

CoRR, 2023

A Scalable Test Problem Generator for Sequential Transfer Optimization.

Xiaoming Xue, Cuie Yang, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan

CoRR, 2023

Product-Matrix Construction of Minimum Storage Rack-aware Regenerating Codes.

Bin Yu, Zhengyi Jiang, Zhongyi Huang, Linqi Song, Hanxu Hou

Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023

Matrix Completion via Coded Distributed Alternating Least Squares.

Siyuan Wang, Qifa Yan, Jingjing Zhang, Jianping Wang, Linqi Song

Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023

A Fast Algorithm for Finding the Roots of Polynomials over Finite Fields.

Pingping Li, Leilei Yu, Linqi Song, Hanxu Hou

Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023

Semantic Communication Based on Entity Information Enhancement.

Xi Zhang, Dan Song, Linqi Song, Congduan Li

Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

A Framework of Large-Scale Peer-to-Peer Learning System.

Yongkang Luo, Peiyi Han, Wenjian Luo, Shaocong Xue, Kesheng Chen, Linqi Song

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Learning Locality and Isotropy in Dialogue Modeling.

Han Wu, Haochen Tan, Mingjie Zhan, Gangming Zhao, Shaoqing Lu, Ding Liang, Linqi Song

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Adaptive Top- K in SGD for Communication-Efficient Distributed Learning.

Mengzhe Ruan, Guangfeng Yan, Yuanzhang Xiao, Linqi Song, Weitao Xu

Proceedings of the IEEE Global Communications Conference, 2023

Fine-grained Conversational Decoding via Isotropic and Proximal Search.

Yuxuan Yao, Han Wu, Qiling Xu, Linqi Song

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Reconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts.

Haochen Tan, Han Wu, Wei Shao, Xinyun Zhang, Mingjie Zhan, Zhaohui Hou, Ding Liang, Linqi Song

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Long-Tail Item Recommendation with Graph Augmentation.

Sichun Luo, Chen Ma, Yuanzhang Xiao, Linqi Song

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

VCSUM: A Versatile Chinese Meeting Summarization Dataset.

Han Wu, Mingjie Zhan, Haochen Tan, Zhaohui Hou, Ding Liang, Linqi Song

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Communication-Efficient Federated Learning with Adaptive Quantization.

Yuzhu Mao, Zihao Zhao, Guangfeng Yan, Yang Liu, Tian Lan, Linqi Song, Wenbo Ding

ACM Trans. Intell. Syst. Technol., 2022

Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Problems.

Xiaoming Xue, Cuie Yang, Yao Hu, Kai Zhang, Yiu-Ming Cheung, Linqi Song, Kay Chen Tan

IEEE Trans. Evol. Comput., 2022

AC-SGD: Adaptively Compressed SGD for Communication-Efficient Distributed Learning.

Guangfeng Yan, Tan Li, Shao-Lun Huang, Tian Lan, Linqi Song

IEEE J. Sel. Areas Commun., 2022

Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits.

Tan Li, Linqi Song

IEEE J. Sel. Areas Commun., 2022

Recent advances in biometrics-based user authentication for wearable devices: A contemporary survey.

Shuqi Liu, Wei Shao, Tan Li, Weitao Xu, Linqi Song

Digit. Signal Process., 2022

Sensing, processing, computing and networking for the era of wearables.

Wenbo Ding, Amir Hossein Alavi, Francesco Fioranelli, Gang Li, Xiaoyue Ni, Linqi Song

Digit. Signal Process., 2022

Towards Communication Efficient and Fair Federated Personalized Sequential Recommendation.

Sichun Luo, Yuanzhang Xiao, Yang Liu, Congduan Li, Linqi Song

CoRR, 2022

EGFI: drug-drug interaction extraction and generation with fusion of enriched entity and sentence information.

Lei Huang, Jiecong Lin, Xiangtao Li, Linqi Song, Zetian Zheng, Ka-Chun Wong

Briefings Bioinform., 2022

Federated Adaptive Bandits Aided Caching for Heterogeneous Edge Servers with Uncertainty.

Tan Li, Linqi Song

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Designing an Educational Chatbot with Joint Intent Classification and Slot Filling.

Yujia Wang, Shuqi Liu, Linqi Song

Proceedings of the IEEE International Conference on Teaching, 2022

An NLP-Empowered Virtual Course Assistant for Online Teaching and Learning.

Shuqi Liu, SiuYing Man, Linqi Song

Proceedings of the IEEE International Conference on Teaching, 2022

Hiding Images in Deep Probabilistic Models.

Haoyu Chen, Linqi Song, Zhenxing Qian, Xinpeng Zhang, Kede Ma

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Zero-shot Cross-lingual Conversational Semantic Role Labeling.

Han Wu, Haochen Tan, Kun Xu, Shuqi Liu, Lianwei Wu, Linqi Song

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models.

Wei Shao, Lei Huang, Shuqi Liu, Shihua Ma, Linqi Song

Proceedings of the International Joint Conference on Neural Networks, 2022

A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans.

Yao Hu, Zhi-An Huang, Rui Liu, Xiaoming Xue, Linqi Song, Kay Chen Tan

Proceedings of the International Joint Conference on Neural Networks, 2022

Vehicle-Key: A Secret Key Establishment Scheme for LoRa-enabled IoV Communications.

Huanqi Yang, Hongbo Liu, Chengwen Luo, Yuezhong Wu, Wei Li, Albert Y. Zomaya, Linqi Song, Weitao Xu

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering.

Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Federated Multi-Armed Bandits With Vector Rewards for Aspect-Based Recommendations.

Zengyan Liu, Linqi Song, Christina Fragouli

Proceedings of the IEEE Global Communications Conference, 2022

HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for Context-Drifting Recommendations.

Sichun Luo, Xinyi Zhang, Yuanzhang Xiao, Linqi Song

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation.

Sichun Luo, Yuanzhang Xiao, Linqi Song

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings.

Haochen Tan, Wei Shao, Han Wu, Ke Yang, Linqi Song

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Data Encoding for Byzantine-Resilient Distributed Optimization.

Deepesh Data, Linqi Song, Suhas N. Diggavi

IEEE Trans. Inf. Theory, 2021

Integrating Future Smart Home Operation Platform With Demand Side Management via Deep Reinforcement Learning.

Tan Li, Yuanzhang Xiao, Linqi Song

IEEE Trans. Green Commun. Netw., 2021

Conversational Semantic Role Labeling.

Kun Xu, Han Wu, Linfeng Song, Haisong Zhang, Linqi Song, Dong Yu

IEEE ACM Trans. Audio Speech Lang. Process., 2021

A Pattern and POS Auto-Learning Method for Terminology Extraction from Scientific Text.

Wei Shao, Bolin Hua, Linqi Song

Data Inf. Manag., 2021

SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering.

Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan

CoRR, 2021

DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning.

Guangfeng Yan, Shao-Lun Huang, Tian Lan, Linqi Song

CoRR, 2021

EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information.

Lei Huang, Jiecong Lin, Xiangtao Li, Linqi Song, Ka-Chun Wong

CoRR, 2021

A Whittle Index Approach to Minimizing Age of Multi-Packet Information in IoT Network.

Mianlong Chen, Kui Wu, Linqi Song

IEEE Access, 2021

DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning.

Guangfeng Yan, Shao-Lun Huang, Tian Lan, Linqi Song

Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

Coded Alternating Least Squares for Straggler Mitigation in Distributed Recommendations.

Siyuan Wang, Qifa Yan, Jingjing Zhang, Jianping Wang, Linqi Song

Proceedings of the IEEE International Symposium on Information Theory, 2021

Live Gradient Compensation for Evading Stragglers in Distributed Learning.

Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Predicting Downside in Stock Market Using Knowledge and News Data.

Xinlin Li, Shuqi Liu, Xinyi Zhang, Linqi Song

Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

K-CSRL: Knowledge Enhanced Conversational Semantic Role Labeling.

Boyu He, Han Wu, Congduan Li, Linqi Song, Weigang Chen

Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

Racial Bias During "Black Lives Matter": How Social Movement Reshapes Airbnb Host Performance.

Tong Xu, Angela Lu, Abhay Mishra, Linqi Song, Zengyan Liu

Proceedings of the 42nd International Conference on Information Systems, 2021

On Coded Broadcasting for Wireless Recommendation Systems.

Rasmus Vestergaard, Osama A. Hanna, Linqi Song, Daniel E. Lucani, Christina Fragouli

Proceedings of the ICC 2021, 2021

CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling.

Han Wu, Kun Xu, Linqi Song

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Domain-Adaptive Pretraining Methods for Dialogue Understanding.

Han Wu, Kun Xu, Linfeng Song, Lifeng Jin, Haisong Zhang, Linqi Song

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Risk-Aware Edge Computation Offloading Using Bayesian Stackelberg Game.

Yang Bai, Lixing Chen, Linqi Song, Jie Xu

IEEE Trans. Netw. Serv. Manag., 2020

Collaborative Content Placement Among Wireless Edge Caching Stations With Time-to-Live Cache.

Lixing Chen, Linqi Song, Jacob Chakareski, Jie Xu

IEEE Trans. Multim., 2020

A Pliable Index Coding Approach to Data Shuffling.

Linqi Song, Christina Fragouli, Tianchu Zhao

IEEE Trans. Inf. Theory, 2020

Privacy in Index Coding: $k$ -Limited-Access Schemes.

Mohammed Karmoose, Linqi Song, Martina Cardone, Christina Fragouli

IEEE Trans. Inf. Theory, 2020

Minimizing Age of Information With Power Constraints: Multi-User Opportunistic Scheduling in Multi-State Time-Varying Channels.

Haoyue Tang, Jintao Wang, Linqi Song, Jian Song

IEEE J. Sel. Areas Commun., 2020

Wireless recommendations for Internet of vehicles: Recent advances, challenges, and opportunities.

Tan Li, Congduan Li, Jingjing Luo, Linqi Song

Intell. Converged Networks, 2020

Coded Caching with Heterogeneous User Groups.

Jingliang He, Congduan Li, Linqi Song

Proceedings of the 2020 IEEE Wireless Communications and Networking Conference Workshops, 2020

Enhancing Deep Multimedia Recommendations Using Graph Embeddings.

Weijing Chen, Weigang Chen, Linqi Song

Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

Federated Recommendation System via Differential Privacy.

Tan Li, Linqi Song, Christina Fragouli

Proceedings of the IEEE International Symposium on Information Theory, 2020

On Secrecy Key of a class of Secure Asymmetric Multilevel Diversity Coding System.

Congduan Li, Jingliang He, Shiqiu Liu, Dongliang Guo, Linqi Song

Proceedings of the IEEE International Symposium on Information Theory, 2020

Semantic Role Labeling Guided Multi-turn Dialogue ReWriter.

Kun Xu, Haochen Tan, Linfeng Song, Han Wu, Haisong Zhang, Linqi Song, Dong Yu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Minimizing Age of Information with Power Constraints: Opportunistic Scheduling in Multi-State Time-Varying Networks.

Haoyue Tang, Jintao Wang, Linqi Song, Jian Song

CoRR, 2019

The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost.

Mengwei Yang, Linqi Song, Jie Xu, Congduan Li, Guozhen Tan

CoRR, 2019

Equivariant neural networks and equivarification.

Erkao Bao, Linqi Song

CoRR, 2019

Deep Reinforcement Learning Based Residential Demand Side Management With Edge Computing.

Tan Li, Yuanzhang Xiao, Linqi Song

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Interactions Between Learning and Broadcasting in Wireless Recommendation Systems.

Linqi Song, Christina Fragouli, Devavrat Shah

Proceedings of the IEEE International Symposium on Information Theory, 2019

Data Encoding Methods for Byzantine-Resilient Distributed Optimization.

Deepesh Data, Linqi Song, Suhas N. Diggavi

Proceedings of the IEEE International Symposium on Information Theory, 2019

Preventing Malware Propagation in D2D Offloading Networks with Strategic Mobile Users.

Letian Zhang, Linqi Song, Jie Xu

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Privacy-Aware Edge Computing Based on Adaptive DNN Partitioning.

Chengshuai Shi, Lixing Chen, Cong Shen, Linqi Song, Jie Xu

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Bayesian Stackelberg Game for Risk-aware Edge Computation Offloading.

Yang Bai, Lixing Chen, Linqi Song, Jie Xu

Proceedings of the 6th ACM Workshop on Moving Target Defense, 2019

Scheduling to Minimize Age of Information in Multi-State Time-Varying Networks with Power Constraints.

Haoyue Tang, Jintao Wang, Linqi Song, Jian Song

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Making Recommendations Bandwidth Aware.

Linqi Song, Christina Fragouli

IEEE Trans. Inf. Theory, 2018

A Polynomial-Time Algorithm for Pliable Index Coding.

Linqi Song, Christina Fragouli

IEEE Trans. Inf. Theory, 2018

Regret vs. Bandwidth Trade-off for Recommendation Systems.

Linqi Song, Christina Fragouli, Devavrat Shah

CoRR, 2018

Recommender Systems over Wireless: Challenges and Opportunities.

Linqi Song, Christina Fragouli, Devavrat Shah

Proceedings of the IEEE Information Theory Workshop, 2018

Dynamic Edge Caching with Popularity Drifting.

Linqi Song, Jie Xu

Proceedings of the IEEE Information Theory Workshop, 2018

A Binary Randomized Coding Scheme for Pliable Index Coding with Multiple Requests.

Linqi Song

Proceedings of the 10th IEEE International Symposium on Turbo Codes & Iterative Information Processing, 2018

Distributed Computing Trade-offs with Random Connectivity.

Sundara Rajan Srinivasavaradhan, Linqi Song, Christina Fragouli

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Privacy in Index Coding: Improved Bounds and Coding Schemes.

Mohammed Karmoose, Linqi Song, Martina Cardone, Christina Fragouli

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Data Encoding for Byzantine-Resilient Distributed Gradient Descent.

Deepesh Data, Linqi Song, Suhas N. Diggavi

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017

Content-Type Coding.

Linqi Song

PhD thesis, 2017

A Pliable Index Coding Approach to Data Shuffling.

Linqi Song, Christina Fragouli

CoRR, 2017

A Contextual Bandit Approach for Stream-Based Active Learning.

Linqi Song, Jie Xu

CoRR, 2017

The benefit of being flexible in distributed computation.

Linqi Song, Sundara Rajan Srinivasavaradhan, Christina Fragouli

Proceedings of the 2017 IEEE Information Theory Workshop, 2017

Preserving privacy while broadcasting: K-limited-access schemes.

Mohammed Karmoose, Linqi Song, Martina Cardone, Christina Fragouli

Proceedings of the 2017 IEEE Information Theory Workshop, 2017

Private Broadcasting: An index coding approach.

Mohammed Karmoose, Linqi Song, Martina Cardone, Christina Fragouli

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016

Online Learning in Large-Scale Contextual Recommender Systems.

Linqi Song, Cem Tekin, Mihaela van der Schaar

IEEE Trans. Serv. Comput., 2016

Using Contextual Learning to Improve Diagnostic Accuracy: Application in Breast Cancer Screening.

Linqi Song, William Hsu, Jie Xu, Mihaela van der Schaar

IEEE J. Biomed. Health Informatics, 2016

Personalized Active Learning for Activity Classification Using Wireless Wearable Sensors.

Jie Xu, Linqi Song, James Y. Xu, Gregory J. Pottie, Mihaela van der Schaar

IEEE J. Sel. Top. Signal Process., 2016

A Deterministic Algorithm for Pliable Index Coding.

Linqi Song, Christina Fragouli

CoRR, 2016

Stream-based Online Active Learning in a Contextual Multi-Armed Bandit Framework.

Linqi Song

CoRR, 2016

2015

Content-type coding.

Linqi Song, Christina Fragouli

Proceedings of the 2015 International Symposium on Network Coding, 2015

2014

Demand Side Management in Smart Grids Using a Repeated Game Framework.

Linqi Song, Yuanzhang Xiao, Mihaela van der Schaar

IEEE J. Sel. Areas Commun., 2014

Non-stationary demand side management method for smart grids.

Linqi Song, Yuanzhang Xiao, Mihaela van der Schaar

Proceedings of the IEEE International Conference on Acoustics, 2014

Clustering based online learning in recommender systems: A bandit approach.

Linqi Song, Cem Tekin, Mihaela van der Schaar

Proceedings of the IEEE International Conference on Acoustics, 2014

Context-driven online learning for activity classification in wireless health.

Jie Xu, James Y. Xu, Linqi Song, Gregory J. Pottie, Mihaela van der Schaar

Proceedings of the IEEE Global Communications Conference, 2014